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UAV Applications and Optimization

UAV Applications and Optimization is a research topic within Aerospace Engineering. Science Explorer counts 18k research works in it since 1960. 44.7% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the communication, networking, and applications of Unmanned Aerial Vehicles (UAVs), covering topics such as wireless communications, trajectory optimization, energy-efficient communication, 5G and beyond, drone applications in various fields including disaster management and precision agriculture, mobile edge computing, security and privacy aspects, and integration with IoT.

  • Wireless Communications
  • UAV Networks
  • Trajectory Optimization
  • Energy-Efficient Communication
  • 5G and Beyond
  • Drone Applications
  • Mobile Edge Computing
  • Security and Privacy
  • Disaster Management
  • Precision Agriculture
Research works
18k
fractional, since 1960
In the world top 10%
7.9k
per year above
Top-10% rate
44.7%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+387%
the tick is no change

Which countries lead UAV Applications and Optimization research?

By volume, China and India publish the most (3.8k and 785 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 3.8k works
  2. 2 India 785 works
  3. 3 United States 710 works
  4. 4 South Korea 299 works
  5. 5 United Kingdom 254 works
  6. 6 Canada 196 works
  7. 7 Japan 189 works
  8. 8 Italy 164 works
  9. 9 Türkiye 144 works
  10. 10 Saudi Arabia 141 works

How concentrated that is

The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.

China: 56.7%India: 11.8%United States: 10.7%South Korea: 4.5%6 others listed: 16.3%57%largest
China3,780 · 56.7%India785 · 11.8%United States710 · 10.7%South Korea299 · 4.5%6 others listed1,089 · 16.3%

Shares of the rows listed above, not of the whole node.

Which institutions lead UAV Applications and Optimization research?

By volume in 2022–2025, Nanjing University of Aeronautics and Astronautics publishes the most UAV Applications and Optimization research, followed by National University of Defense Technology and Beijing University of Posts and Telecommunications.

Who are the leading researchers in UAV Applications and Optimization?

The most-cited researchers publishing on UAV Applications and Optimization include H. Vincent Poor, Rui Zhang and Mohamed‐Slim Alouini.

  1. 1 H. Vincent Poor United States 9.5k citations
  2. 2 Rui Zhang Singapore 6k citations
  3. 3 Mohamed‐Slim Alouini Saudi Arabia 5.9k citations
  4. 4 Xuemin Shen Canada 5.1k citations
  5. 5 Mubarak Shah United States 4.9k citations
  6. 6 Zhu Han United States 4.7k citations
  7. 7 Dusit Niyato Singapore 4.5k citations
  8. 8 Zhiguo Ding United Kingdom 4.4k citations
  9. 9 Mérouane Debbah France 4.3k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

Where is UAV Applications and Optimization research done?

The largest centres of UAV Applications and Optimization research in 2022–2025 are Beijing (China), Nanjing (China), Xi'an (China) and Changsha (China).

Largest cities, 2022–2025

  1. 1 Beijing China 817 works
  2. 2 Nanjing China 462 works
  3. 3 Xi'an China 370 works
  4. 4 Changsha China 187 works
  5. 5 Shanghai China 164 works
  6. 6 Chengdu China 143 works
  7. 7 Seoul South Korea 137 works
  8. 8 Guangzhou China 127 works
  9. 9 Wuhan China 119 works
  10. 10 Shenzhen China 111 works
See UAV Applications and Optimization on the map

Where is the best place to study UAV Applications and Optimization?

Among universities, judged by research, Beijing University of Posts and Telecommunications, Xidian University and Nanjing University of Aeronautics and Astronautics score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

0%25%50%75%mean 46.88%fractional works in this node (log) →share in the world top 10% →Beijing University of Posts and Telecommunications: 125, 45.7%Xidian University: 79, 51.0%Nanjing University of Aeronautics and Astronautics: 147, 36.3%Northwestern Polytechnical University: 109, 40.3%Beihang University: 113, 39.9%National University of Defense Technology: 128, 38.7%King Abdullah University of Science and Technology: 24, 66.2%University of Electronic Science and Technology of China: 81, 47.8%Nanyang Technological University: 38, 58.7%Beijing Institute of Technology: 84, 44.2%Xidian UniversityBeijing University o…Northwestern Polytec…Nanjing University o…
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1 Beijing University of Posts and TelecommunicationsChina 73.045.7%23.3×125 +1107.0%
2 Xidian UniversityChina 72.551.0%12.3×79 +448.1%
3 Nanjing University of Aeronautics and AstronauticsChina 70.536.3%18.9×147 +643.2%
4 Northwestern Polytechnical UniversityChina 70.440.3%10.9×109 +199.6%
5 Beihang UniversityChina 70.339.9%11.7×113 +237.7%
6 National University of Defense TechnologyChina 69.438.7%18.9×128 +616.7%
7 King Abdullah University of Science and TechnologySaudi Arabia 66.966.2%9.7×24
8 University of Electronic Science and Technology of ChinaChina 66.247.8%8.3×81 +185.8%
9 Nanyang Technological UniversitySingapore 65.258.7%5.5×38 +389.4%
10 Beijing Institute of TechnologyChina 64.944.2%8.1×84 +218.8%

Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.

Is UAV Applications and Optimization research growing?

Output in 2018–2022 was 387% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are UAV Applications and Optimization.

19801990200020102020
grewheldshrank

The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.

Which topics inside it are moving

Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.